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Article
Peer-Review Record

A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks

Entropy 2023, 25(2), 257; https://doi.org/10.3390/e25020257
by Khushnood Abbas 1,2,*, Alireza Abbasi 2,*, Shi Dong 1, Ling Niu 1, Liyong Chen 3 and Bolun Chen 4
Reviewer 1:
Reviewer 2:
Entropy 2023, 25(2), 257; https://doi.org/10.3390/e25020257
Submission received: 14 December 2022 / Revised: 15 January 2023 / Accepted: 26 January 2023 / Published: 31 January 2023
(This article belongs to the Special Issue Complexity, Entropy and the Physics of Information)

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

Original Manuscript ID: entropy-2129241  

Original Article Title: “A Novel Temporal Network Embedding algorithm for Link Prediction in Dynamic Networks”

  

To: Entropy Editor

Re: Response to reviewers

Dear reviewers;

We would like to express our gratitude to all of the reviewers for providing us with the opportunity to edit our submission and for their insightful criticism and recommendations. Their feedback has allowed us to carefully reconsider a number of crucial aspects of this work. As a result, we have addressed their suggestions and made the best revisions and improvements possible to the article. In the paragraphs that follow, we will elaborate on our responses to the reviewers' criticisms and outline the adjustments that were made in response.

Dear Editor,

Thank you for allowing a resubmission of our manuscript, with an opportunity to address the reviewers’ comments.

We are including two files: (a) a detailed answer to the reviewers' comments (response to reviewers), (b) an updated manuscript.

Best regards, Dr. Abbas and coauthors. 

Author Response File: Author Response.pdf

Reviewer 2 Report


Comments for author File: Comments.pdf

Author Response

Original Manuscript ID: entropy-2129241  

Original Article Title: “A Novel Temporal Network Embedding algorithm for Link Prediction in Dynamic Networks”

  

To: Entropy Editor

Re: Response to reviewers

Dear reviewers;

We would like to express our gratitude to all of the reviewers for providing us with the opportunity to edit our submission and for their insightful criticism and recommendations. Their feedback has allowed us to carefully reconsider a number of crucial aspects of this work. As a result, we have addressed their suggestions and made the best revisions and improvements possible to the article. In the paragraphs that follow, we will elaborate on our responses to the reviewers' criticisms and outline the adjustments that were made in response.

Best regards,

Dr. Abbas and coauthors. 

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

As all my concerns have been properly addressed by the authors, I recommend the manuscript be published in Entropy.

Reviewer 2 Report

My questions have been well answered, and I have no other questions. I recommend this paper for publication, thank you!

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